Neysa, an Indian AI infrastructure startup, has secured backing from U.S. private equity firm Blackstone as it scales domestic compute capacity amid India’s push to build homegrown AI capabilities.

Blackstone and co-investors, including Teachers’ Venture Growth, TVS Capital, 360 ONE Asset, and Nexus Venture Partners, have agreed to invest up to $600 million of primary equity in Neysa, giving Blackstone a majority stake, Blackstone and Neysa told TechCrunch. The Mumbai-headquartered startup also plans to raise an additional $600 million in debt financing as it expands GPU capacity, a sharp increase from the $50 million it had raised previously.

The deal comes as demand for AI computing surges globally, creating supply constraints for specialized chips and data center capacity needed to train and run large models. Newer AI-focused infrastructure providers — often referred to as “neo-clouds” — have emerged to bridge that gap by offering dedicated GPU capacity and faster deployment than traditional hyperscalers, particularly for enterprises and AI labs with specific regulatory, latency, or customisation requirements.

Neysa operates in this emerging segment, positioning itself as a provider of customized, GPU-first infrastructure for enterprises, government agencies, and AI developers in India, where demand for local compute is still at an early but rapidly expanding stage.

“A lot of customers want hand-holding, and a lot of them want round-the-clock support with a 15-minute response and a couple of our resolutions. And so those are the kinds of things that we provide that some of the hyperscalers don’t,” said Neysa co-founder and CEO Sharad Sanghi.

Ganesh Mani, a senior managing director at Blackstone Private Equity, said his firm estimates that India currently has fewer than 60,000 GPUs deployed — and it expects the figure to scale up nearly 30 times to more than two million in the coming years.

That expansion is being driven by a combination of government demand, enterprises in regulated sectors such as financial services and healthcare that need to keep data local, and AI developers building models within India, Mani told TechCrunch. Global AI labs, many of which count India among their largest user bases, are also increasingly looking to deploy computing capacity closer to users to reduce latency and meet data requirements.

The investment also builds on Blackstone’s broader push into data center and AI infrastructure globally. The firm has previously backed large-scale data centre platforms such as QTS and AirTrunk, as well as specialized AI infrastructure providers including CoreWeave in the U.S. and Firmus in Australia.

Neysa develops and operates GPU-based AI infrastructure that enables enterprises, researchers, and public sector clients to train, fine-tune, and deploy AI models locally. The startup currently has about 1,200 GPUs live and plans to sharply scale that capacity, targeting deployments of more than 20,000 GPUs over time as customer demand accelerates.

“We are seeing a demand that we are going to more than triple our capacity next year,” Sanghi said. “Some of the conversations we are having are at a fairly advanced stage; if they go through, then we could see it sooner rather than later. We could see in the next nine months.”

Sanghi told TechCrunch that the bulk of the new capital will be used to deploy large-scale GPU clusters, including compute, networking and storage, while a smaller portion will go toward research and development and building out Neysa’s software platforms for orchestration, observability, and security.

Neysa aims to more than triple its revenue next year as demand for AI workloads accelerates, with ambitions to expand beyond India over time, Sanghi said. Founded in 2023, the startup employs 110 people across offices in Mumbai, Bengaluru, and Chennai.

These days, rather than showing you the traditional list of links when you run a search query, Google is intent on throwing up AI Overviews instead: synthesized summaries of information scraped off the web, with some word-prediction magic added, and packaged together in a way to sound as accurate and reliable as possible.

We’ve written before about some of the problems with these AI Overviews, which regularly contain mistakes or nonsense, and of course rip off the work of the human writers who actually know the answers to the questions you’re putting into Google. There’s another problem though—these AI answers can actually be dangerous.

As with every other new technology through history, scams are now making their way into AI Overviews as well, apparently injecting Google’s AI answers with fraudulent phone numbers that you shouldn’t trust. Here’s what’s happening, and how you can make sure you stay safe.

How AI Overview Scams Work

It’s a good idea not to trust AI for contact details.David Nield

Both The Washington Post and Digital Trends have spotted instances of scam support numbers showing up in Google AI Overviews, reports of which appeared on Facebook and Reddit respectively. Credit unions and banks are also warning their customers about these scams.

It doesn’t seem to be a completely new problem, but the way Google Search works now, it’s been given a new twist.

Here’s what happens: The unfortunate victim Googles a company name looking for a contact number, then calls the number thrown up by AI. This doesn’t actually lead to the company in question, but rather to someone pretending to be that company, who then tries to take payment information or other sensitive details from the caller.

It’s not clear exactly how these fake numbers are being planted, but the best guess is that they’re being published in multiple low-profile places online, alongside the names of major companies. AI Overviews then comes along and scoops them up, without running the proper checks to verify the information.

The planting of misleading phone numbers by bad actors is not a completely new danger of course; misinformation has been a part of the web for a long, long time. But the design of AI Overviews, which picks out information from the web and presents it as fact rather than encouraging you to do the research yourself, is making people much more susceptible to this kind of con.

You’ll want to read our extensive guide on How to Choose the Right Laptop, but for the basics, you’ll want to decide what category of laptop you need. Most people should buy a 13-inch or 14-inch laptop, and spending around $750-$1,000 is a good place to start. You should expect a laptop around this price to get good battery life, have a decent screen, perform well enough for basic tasks, and have a comfortable keyboard and touchpad. You should also expect at least 16 GB of RAM and 512 GB of storage. Anything more than that gets into premium territory where you’re paying for higher specs, more performance, or extra features. If you want something with a discrete GPU for either gaming or creative workflows, you’ll need to spend more than this.

A laptop like the Dell 14 Plus is the ideal example of what you can get while shopping in this price range. You can even find laptops with OLED panels, up to one terabyte of storage, depending on how good the discounts happen to be. I would consider anything under $750 to be a cheap laptop, and it will therefore come with some significant compromises, especially around the quality of the panel and the touchpad. Fortunately, laptops that use the Qualcomm Snapdragon X chip get great battery life, despite often falling under $750 in price.

Here’s a list of important specs to consider:

CPU: For thin and light laptops, I would recommend one of the Snapdragon X, X Plus, or X Elite chips. They get the best battery life and performance for their class of laptop. As an alternative, the Intel Core Ultra 7 258V is also quite good. The next generation is coming soon though, with all eyes on Intel’s Core Ultra Series 3 (also known as Panther Lake, which is rolling out now and is really great) and Qualcomm’s Snapdragon X2 chips.

GPU: As of now, Intel’s Lunar Lake chips, such as the Core Ultra 7 258V, have the best integrated graphics. For discrete options, you’ll want to pick something with one of the latest Nvidia RTX 50-series GPUs, such as the RTX 5060. The biggest leap in performance is between the RTX 5070 and the RTX 5070 Ti, which increases VRAM to 12 GB.

RAM (or memory): Stick with at least 16 GB if you can. Since the advent of the Copilot+ designation, it has become the new standard. You’ll even find laptops as cheap as $600 that have 16 GB of memory. Gamers and content creators should upgrade to 32 GB if possible, though the ongoing memory shortage may make this more expensive in the near future.

Storage: Similar to memory, many laptops have moved to 512 GB as the new standard, and you’ll find lots of affordable laptops with 512 GB as the base configuration. Upgrading to one or two terabytes, where possible, will make your life that much easier, especially since many laptops don’t offer expandable storage.

Display: Laptops are usually categorized by screen size, with 13-inch, 14-inch, and 16-inch being the most common. You’ll want to consider size, resolution, refresh rate, and panel type here.

Portability: Outside of display size, the thickness of the chassis and weight are the primary factors here, determining how portable a laptop is to travel with. Other dimensions are important too, but more often than not, that is determined by the screen size.

Ports: Many laptops are limited to just USB-C and headphone jack these days, with some exceptions where USB-A or HDMI are included. Make sure your laptop has what you need, or else you’ll need a USB Hub or laptop docking station to get more ports or to increase external display support.

Power, rather than compute, is fast becoming the limiting factor in scaling AI data centers. That shift has prompted Peak XV Partners to back C2i Semiconductors, an Indian startup building plug-and-play, system-level power solutions designed to cut energy losses and improve the economics of large-scale AI infrastructure.

C2i (which stands for control conversion and intelligence) has raised $15 million in a Series A round led by Peak XV Partners, with participation from Yali Deeptech and TDK Ventures, bringing the two-year-old startup’s total funding to $19 million.

The investment comes as data-center energy demand accelerates worldwide. Electricity consumption from data centers is projected to nearly triple by 2035, per a December 2025 report from BloombergNEF, while Goldman Sachs Research estimates data-center power demand could surge 175% by 2030 from 2023 levels — the equivalent of adding another top-10 power-consuming country.

Much of that strain comes not from generating electricity but from converting it efficiently inside data centers, where high-voltage power must be stepped down thousands of times before it reaches GPUs. This process currently wastes about 15% to 20% of energy, C2i’s co-founder and CTO Preetam Tadeparthy said in an interview.

“What used to be 400 volts has already moved to 800 volts, and will likely go higher,” Tadeparthy told TechCrunch.

Founded in 2024 by former Texas Instruments power executives Ram Anant, Vikram Gakhar, Preetam Tadeparthy, and Dattatreya Suryanarayana, along with Harsha S. B and Muthusubramanian N. V, C2i is redesigning power delivery as a single, plug-and-play “grid-to-GPU” system spanning the data-center bus to the processor itself.

By treating power conversion, control and packaging as an integrated platform, C2i estimates it can cut end-to-end losses by around 10% — roughly 100 kilowatts saved for every megawatt consumed — with knock-on effects for cooling costs, GPU utilisation and overall data-center economics.

“All that translates directly to total cost of ownership, revenue, and profitability,” Tadeparthy said.

For Peak XV Partners (which split from Sequoia Capital in 2023), the attraction lies in how power costs shape the economics of AI infrastructure at scale. Rajan Anandan, the venture firm’s managing director, told TechCrunch that after the upfront capital investment in servers and facilities, energy costs become the dominant ongoing expense for data centers, making even incremental efficiency gains highly valuable.

“If you can reduce energy costs by, call it, 10 to 30%, that’s like a huge number,” Anandan said. “You’re talking about tens of billions of dollars.”

The claims will be tested quickly. C2i expects its first two silicon designs to return from fabrication between April and June, after which the startup plans to validate performance with data-center operators and hyperscalers that have asked to review the data, according to Tadeparthy.

The Bengaluru-based startup has built a team of about 65 engineers and is setting up customer-facing operations in the U.S. and Taiwan as it prepares for early deployments.

Power delivery is one of the most entrenched parts of the data-center stack, long dominated by large incumbents with deep balance sheets and years-long qualification cycles. While many newer companies focus on improving individual components, redesigning power delivery end-to-end requires coordinating silicon, packaging, and system architecture simultaneously — a capital-intensive approach that few startups attempt and one that can take years to prove in production environments.

Anandan said the real question now is execution, noting that all startups face technology, market, and team risks when betting on how industries evolve. In C2i’s case, he said, the feedback loop should be relatively short. “We’ll know in the next six months,” said Anandan, pointing to upcoming silicon and early customer validation as the moment when the thesis will be tested.

The bet also reflects how India’s semiconductor design ecosystem has matured in recent years.

“The way you should look at semiconductors in India is, this is like 2008 e-commerce,” said Anandan. “It’s just getting started.”

He pointed to the depth of engineering talent — with a growing share of global chip designers based in the country — alongside government-backed design-linked incentives that have lowered the cost and risk of tape-outs, making it increasingly viable for startups to build globally competitive semiconductor products from India rather than operate only as captive design centers.

Whether those conditions translate into a globally competitive product will become clearer over the coming months, as C2i begins validating its system-level power solutions with customers.

Looking for the most recent Connections answers? Click here for today’s Connections hints, as well as our daily answers and hints for The New York Times Mini Crossword, Wordle, Connections: Sports Edition and Strands puzzles.

Today’s NYT Connections puzzle has some really unusual categories. Read on for clues and today’s Connections answers.

The Times has a Connections Bot, like the one for Wordle. Go there after you play to receive a numeric score and to have the program analyze your answers. Players who are registered with the Times Games section can now nerd out by following their progress, including the number of puzzles completed, win rate, number of times they nabbed a perfect score and their win streak.

Read more: Hints, Tips and Strategies to Help You Win at NYT Connections Every Time

Hints for today’s Connections groups

Here are four hints for the groupings in today’s Connections puzzle, ranked from the easiest yellow group to the tough (and sometimes bizarre) purple group.

Yellow group hint: Good joke!

Green group hint: They all sound like Homer Simpson.

Blue group hint: Bwack-bwack!

Purple group hint: Oh no! What now?

Answers for today’s Connections groups

Yellow group: Knee slapper.

Green group: Homophones.

Blue group: Sounds a chicken makes.

Purple group: Stress responses.

Read more: Wordle Cheat Sheet: Here Are the Most Popular Letters Used in English Words

What are today’s Connections answers?

The yellow words in today’s Connections

The theme is knee slapper. The four answers are hoot, laugh, riot and scream.

The green words in today’s Connections

The theme is homophones. The four answers are do, doe, doh and dough.

The blue words in today’s Connections

The theme is sounds a chicken makes. The four answers are buck, cackle, cluck and squawk.

The purple words in today’s Connections

The theme is stress responses. The four answers are fawn, fight, flight and freeze.

Threat actors are abusing Pastebin comments to distribute a new ClickFix-style attack that tricks cryptocurrency users into executing malicious JavaScript in their browser, allowing attackers to hijack Bitcoin swap transactions and redirect funds to attacker-controlled wallets.

The campaign relies on social engineering that promises large profits from a supposed Swapzone.io arbitrage exploit, but instead runs malicious code that modifies the swap process directly within the victim’s browser.

It could also be the first known ClickFix attack to use JavaScript to alter a webpage’s functionality for a malicious purpose.

Promoted through Pastebin

In the campaign spotted by BleepingComputer, threat actors are iterating through Pastebin posts and leaving comments that promote an alleged cryptocurrency exploit, with a link to a URL on rawtext[.]host.

The campaign is widespread, with many of our posts receiving comments over the past week claiming to be “leaked exploit documentation” that allows users to earn $13,000 in 2 days.

The link in the comment redirects to a Google Docs page titled “Swapzone.io – ChangeNOW Profit Method,” which claims to be a guide describing a method to exploit arbitrage opportunities for higher payouts.

“ChangeNOW still has an older backend node connected to the Swapzone partner API. On direct ChangeNOW, this node is no longer used for public swaps,” reads the fake guide.

“However, when accessed through Swapzone, the rate calculation passes through Node v1.9 for certain BTC pairs. This old node applies a different conversion formula for BTC to ANY, which results in ~38% higher payouts than intended.”

At any given time, these documents typically show between 1 and 5 active viewers, suggesting the scam is circulating.

The fake guide provides instructions to visit Swapzone.io and manually load a Bitcoin node by executing JavaScript directly in their browser’s address bar.

The instructions tell victims to visit a URL on paste[.]sh and copy a JavaScript snippet hosted on the page.

The guide then tells the reader to go back to the SwapZone tab, click on the address bar, type javascript:, and then paste the code. When the code has been pasted into the address, they state to press Enter on your keyboard to execute it, as explained below.

This technique abuses the browser’s ‘javascript:’ URI feature, which allows users to execute JavaScript from the address on the currently loaded website.

By convincing victims to run this code on Swapzone.io, attackers can manipulate the page and alter the swap process.

BleepingComputer’s analysis of the malicious script hosted at paste[.]sh shows that it loads a secondary payload from https://rawtext[.]host/raw?btulo3.

This heavily obfuscated script is injected directly into the Swapzone page, overriding the legitimate Next.js script used for handling Bitcoin swaps to hijack the swap interface.

The malicious script includes embedded Bitcoin addresses, which are randomly selected and injected into the swap process, replacing the legitimate deposit address generated by the exchange.

Because the code executes within the Swapzone.io session, victims see a legitimate interface but end up copying and sending funds to attacker-controlled Bitcoin wallets.

In addition to replacing the deposit address, BleepingComputer was told that the script modifies displayed exchange rates and offer values, making it feel like the alleged arbitrage exploit is actually working.

Unfortunately, as Bitcoin transactions cannot be reversed, if you fell for this scam, there is no easy way to recover your money.

A novel ClickFix variant

This campaign is a variant of the ClickFix attacks, a social engineering technique that tricks users into executing malicious commands on their computer, typically to install malware.

Normally, ClickFix attacks target operating systems by telling victims to run PowerShell commands or shell scripts to fix alleged errors or enable functionality.

In this case, instead of targeting the operating system, the attackers instruct victims to execute JavaScript directly in their browser while visiting a cryptocurrency exchange service.

This allows the malicious code to modify the page and intercept transaction details.

This may represent one of the first reported ClickFix-style attacks specifically designed to use JavaScript in the browser and steal cryptocurrency.

Modern IT infrastructure moves faster than manual workflows can handle.

In this new Tines guide, learn how your team can reduce hidden manual delays, improve reliability through automated response, and build and scale intelligent workflows on top of tools you already use.

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A recent example was published in 2025 by researchers at the European X-Ray Free-Electron Laser Facility near Hamburg, among other institutions. They cooled iodopyridine, an organic molecule consisting of 11 atoms, almost to absolute zero and hammered it with a laser pulse to break its atomic bonds. The team found that the motions of the freed atoms were correlated, indicating that, despite its chilled state, the iodopyridine molecule had been vibrating. “That was not initially the main goal of the experiment,” said Rebecca Boll, an experimental physicist at the facility. “It’s basically something that we found.”

Perhaps the best-known effect of zero-point energy in a field was predicted by Hendrick Casimir in 1948, glimpsed in 1958, and definitively observed in 1997. Two plates of electrically uncharged material—which Casimir envisioned as parallel metal sheets, although other shapes and substances will do—exert a force on each other. Casimir said the plates would act as a kind of guillotine for the electromagnetic field, chopping off long-wavelength oscillations in a way that would skew the zero-point energy. According to the most accepted explanation, in some sense, the energy outside the plates is higher than the energy between the plates, a difference that pulls the plates together.

Quantum field theorists typically describe fields as a collection of oscillators, each of which has its own zero-point energy. There is an infinite number of oscillators in a field, and thus a field should contain an infinite amount of zero-point energy. When physicists realized this in the 1930s and ’40s, they at first doubted the theory, but they soon came to terms with the infinities. In physics—or most of physics, at any rate—energy differences are what really matters, and with care physicists can subtract one infinity from another to see what’s left.

That doesn’t work for gravity, though. As early as 1946, Wolfgang Pauli realized that an infinite or at least gargantuan amount of zero-point energy should create a gravitational field powerful enough to explode the universe. “All forms of energy gravitate,” said Sean Carroll, a physicist at Johns Hopkins University. “That includes the vacuum energy, so you can’t ignore it.” Why this energy remains gravitationally muted still mystifies physicists.

In quantum physics, the zero-point energy of the vacuum is more than an ongoing challenge, and it’s more than the reason you can’t ever truly empty a box. Instead of being something where there should be nothing, it is nothing infused with the potential to be anything.

“The interesting thing about the vacuum is every field, and therefore every particle, is somehow represented,” Milonni said. Even if not a single electron is present, the vacuum contains “electronness.” The zero-point energy of the vacuum is the combined effect of every possible form of matter, including ones we have yet to discover.

Original story reprinted with permission from Quanta Magazine, an editorially independent publication of the Simons Foundation whose mission is to enhance public understanding of science by covering research developments and trends in mathematics and the physical and life sciences.

A good gaming laptop deal is not just about saving money. It’s about landing the right mix of GPU, CPU, and storage so you don’t feel boxed in six months from now. This Presidents’ Day promo on the HP Victus 15.6-inch gaming laptop hits that sweet spot: it’s $999.99, down from $1,369.99, saving you $370. The important detail is the deadline. The deal ends on Feb. 17, 2026, so this is more of a “grab it while it’s live” situation than a price you can assume will stick around.

What you’re getting

This configuration checks the boxes most people actually care about for 2026 PC gaming and everyday use:

• 15.6-inch Full HD display with a 144Hz refresh rate for smoother gameplay and less blur in fast motion
• Intel Core i7-13620H (2023), a capable CPU for gaming plus school/work multitasking
• NVIDIA GeForce RTX 5060 for modern titles and GPU-accelerated creative apps
• 16GB memory for running games, voice chat, browsers, and background apps without constant slowdowns
• 1TB SSD so you can install several large games and still have room for projects, clips, and downloads

In other words, it’s a “play, stream, edit, and study” machine, not a laptop that only feels good on day one.

Why it’s worth it

Here’s the practical angle: many laptops around this price force compromises that become annoying quickly (small storage, weaker GPU, or screens that feel laggy). This one avoids the common traps. The 144Hz panel matters more than people expect because it makes everything feel more responsive, even outside gaming. And 1TB storage is a quality-of-life perk if you bounce between a handful of big games or keep media locally.

It’s also a smart pick for anyone who wants a laptop that can handle gaming now and still be useful later for productivity. The i7 chip and 16GB memory are what keep it feeling “current” when your workload is not just one app at a time.

The bottom line

At $999.99, this HP Victus is a solid Presidents’ Day deal for anyone who wants a balanced gaming laptop with a high-refresh display, modern graphics, and enough storage to avoid juggling installs. If you were already shopping in the under-$1,000 range, the $370 discount and the Feb. 17, 2026 end date make this one worth moving on sooner rather than later.

Microsoft says it has resolved a Windows 11 bug that caused some commercial systems to fail to boot with an “UNMOUNTABLE_BOOT_VOLUME” error after installing recent security updates, with the fix delivered in the February 2026 Patch Tuesday update.

The boot issue, which Microsoft previously investigated and linked to failed December 2025 updates, affected a limited number of commercial Windows 11 devices running versions 25H2 and 24H2.

According to a private enterprise advisory seen by Susan Bradley of Ask Woody, the issue has now been marked as fully resolved in the Windows 11 KB5077181 security update released on February 10, 2026.

Microsoft says impacted devices suffered boot failures after installing the January 13, 2026, security update KB5074109 or later updates, displaying a black screen and the message: “Your device ran into a problem and needs a restart. You can restart.”

At that point, impacted systems were unable to boot and required manual recovery to restore functionality.

Microsoft previously confirmed the issue was caused by the failed installation of the December 2025 security update, leaving devices in an improper state after the installation rolled back. 

Attempting to install future Windows updates on devices with this “improper state” could cause the system to become unbootable.

Microsoft said the issue affected only physical devices running Windows 11 25H2 and 24H2, and did not receive reports of it affecting home users or virtual machines.

Fix delivered in February Patch Tuesday update

Microsoft says it previously released an initial resolution in the optional non-security preview update KB5074105 on January 29, 2026, which helped prevent additional systems from becoming affected by the bug.

The company now says the issue is fully resolved in the Windows 11 KB5077181 update released during the February 2026 Patch Tuesday and later updates.

“This issue is fully resolved in the Windows security update released on February 10, 2026 (the Resolved KBs listed above), and later updates,” reads Microsoft’s advisory.

Unfortunately, devices that became unbootable before the fix was released may still require additional remediation. 

Microsoft advises enterprise customers whose devices remain affected to contact Microsoft Support for Business for assistance restoring system stability.

It is unclear why Microsoft did not share this advisory publicly, as it does for other known Windows issues.

Modern IT infrastructure moves faster than manual workflows can handle.

In this new Tines guide, learn how your team can reduce hidden manual delays, improve reliability through automated response, and build and scale intelligent workflows on top of tools you already use.

Get the guide